Marcos Casademunt
Applied Machine Learning Scientist III at Thomson Reuters
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolMarcos Casademunt is an applied machine learning scientist with a Computer Science degree and a Master’s in AI/ML, bringing nine years of industry experience and six+ years focused on designing and deploying production ML systems. He specializes in NLP—particularly Search & Relevance, Retrieval-Augmented Generation, and multimodal representation learning—building end-to-end solutions from prototyping to monitoring. His work spans traditional Transformer models, LLM prompting, NER systems, and agentic AI that autonomously interprets and executes user tasks. Marcos has advanced through hands-on roles across startups and enterprise teams in Spain and Switzerland, currently driving applied research and productization at Thomson Reuters in Zurich. He combines a researcher’s rigor with production engineering discipline, often tackling long-document QA and retrieval challenges that require both model innovation and systems engineering.
9 years of coding experience
6 years of employment as a software developer
Universitat Politècnica de València
Spanish, Catalan, English
Github Skills (33)
weakly-supervised-learning10
nlp8
active-learning8
text-labeling8
natural-language-processing8
text-annotation7
datasets7
machine-learning7
weak-supervision7
fairness-ml7
developer-tools6
knowledge-graph6
ai6
server6
dataops6
Programming languages (2)
Github contributions (5)
marescas/UPV-2
Mar 2017 - Jun 2017
Contributions:28 commits, 27 pushes, 1 branch in 3 months
marescas/UPV-3
Jun 2017 - Jun 2018
Contributions:15 commits, 12 pushes, 1 branch in 1 year
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